Package: nlsmsn 0.0-6

Marcos Prates

nlsmsn: Fitting Nonlinear Models with Scale Mixture of Skew-Normal Distributions

Fit univariate non-linear scale mixture of skew-normal(NL-SMSN) regression, details in Garay, Lachos and Abanto-Valle (2011) <doi:10.1016/j.jkss.2010.08.003> and Lachos, Bandyopadhyay and Garay (2011) <doi:10.1016/j.spl.2011.03.019>.

Authors:Marcos Prates [aut, cre, trl], Victor Lachos [aut], Aldo Garay [aut]

nlsmsn_0.0-6.tar.gz
nlsmsn_0.0-6.tar.gz(r-4.5-noble)nlsmsn_0.0-6.tar.gz(r-4.4-noble)
nlsmsn_0.0-6.tgz(r-4.4-emscripten)nlsmsn_0.0-6.tgz(r-4.3-emscripten)
nlsmsn.pdf |nlsmsn.html✨
nlsmsn/json (API)

# Install 'nlsmsn' in R:
install.packages('nlsmsn', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

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This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.30 score 2 stars 3 scripts 218 downloads 1 exports 0 dependencies

Last updated 4 years agofrom:d68deaa86c. Checks:OK: 2. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 28 2024
R-4.5-linuxOKNov 28 2024

Exports:smsn.nl

Dependencies: